HUGO -- Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approach

arXiv:2405.00629v1 Announce Type: new
Abstract: With the growth of Renewable Energy (RE) generation, the operation of power grids has become increasingly complex. One solution is automated grid operation, where Deep Reinforcement Learning (DRL) has repeatedly shown significant potential in Learning to Run a Power Network (L2RPN) challenges. However, only individual actions at the substation level have been subjected to topology optimization by most existing DRL algorithms. In contrast, we propose a more holistic approach in this paper by proposing specific …

abstract arxiv automated become cs.ai cs.lg energy grid growth highlighting hugo power reinforcement reinforcement learning renewable solution topology type